README
Argo Rollouts Demo Application
This repo contains the Argo Rollouts demo application source code and examples. It demonstrates the various deployment strategies and progressive delivery features of Argo Rollouts.
Examples
The following examples are provided:
| Example | Description |
|---|---|
| Canary | Rollout which uses the canary update strategy |
| Blue-Green | Rollout which uses the blue-green update strategy |
| Canary Analysis | Rollout which performs canary analysis as part of the update. Uses the prometheus metric provider. |
| Experiment | Experiment which performs an A/B test. Performs analysis against the A and B using the job metric provider |
| Preview Stack Testing | Rollout which launches an experiment that tests a preview stack (which receives no production traffic) |
| Canary with istio (1) | Rollout which uses host-level traffic splitting during update |
| Canary with istio (2) | Rollout which uses subset-level traffic splitting during update |
Before running an example:
- Install Argo Rollouts
- See the document Getting Started
- Install Kubectl Plugin
- See the document Kubectl Plugin
To run an example:
- Apply the manifests of one of the examples:
kustomize build <EXAMPLE-DIR> | kubectl apply -f -
- Watch the rollout or experiment using the argo rollouts kubectl plugin:
kubectl argo rollouts get rollout <ROLLOUT-NAME> --watch
kubectl argo rollouts get experiment <EXPERIMENT-NAME> --watch
- For rollouts, trigger an update by setting the image of a new color to run:
kubectl argo rollouts set image <ROLLOUT-NAME> "*=argoproj/rollouts-demo:yellow"
Images
Available images colors are: red, orange, yellow, green, blue, purple (e.g. argoproj/rollouts-demo:yellow). Also available are:
- High error rate images, prefixed with the word
bad(e.g.argoproj/rollouts-demo:bad-yellow) - High latency images, prefixed with the word
slow(e.g.argoproj/rollouts-demo:slow-yellow)
Releasing
To release new images:
make release IMAGE_NAMESPACE=argoproj DOCKER_PUSH=true
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README
Argo Rollouts Demo Application
This repo contains the Argo Rollouts demo application source code and examples. It demonstrates the various deployment strategies and progressive delivery features of Argo Rollouts.
Examples
The following examples are provided:
| Example | Description |
|---|---|
| Canary | Rollout which uses the canary update strategy |
| Blue-Green | Rollout which uses the blue-green update strategy |
| Canary Analysis | Rollout which performs canary analysis as part of the update. Uses the prometheus metric provider. |
| Experiment | Experiment which performs an A/B test. Performs analysis against the A and B using the job metric provider |
| Preview Stack Testing | Rollout which launches an experiment that tests a preview stack (which receives no production traffic) |
| Canary with istio (1) | Rollout which uses host-level traffic splitting during update |
| Canary with istio (2) | Rollout which uses subset-level traffic splitting during update |
Before running an example:
- Install Argo Rollouts
- See the document Getting Started
- Install Kubectl Plugin
- See the document Kubectl Plugin
To run an example:
- Apply the manifests of one of the examples:
kustomize build <EXAMPLE-DIR> | kubectl apply -f -
- Watch the rollout or experiment using the argo rollouts kubectl plugin:
kubectl argo rollouts get rollout <ROLLOUT-NAME> --watch
kubectl argo rollouts get experiment <EXPERIMENT-NAME> --watch
- For rollouts, trigger an update by setting the image of a new color to run:
kubectl argo rollouts set image <ROLLOUT-NAME> "*=argoproj/rollouts-demo:yellow"
Images
Available images colors are: red, orange, yellow, green, blue, purple (e.g. argoproj/rollouts-demo:yellow). Also available are:
- High error rate images, prefixed with the word
bad(e.g.argoproj/rollouts-demo:bad-yellow) - High latency images, prefixed with the word
slow(e.g.argoproj/rollouts-demo:slow-yellow)
Releasing
To release new images:
make release IMAGE_NAMESPACE=argoproj DOCKER_PUSH=true
Similar repos
Contributors
Languages
Go
41.7%
JavaScript
30.5%
SCSS
10.1%
HTML
4.8%
Dockerfile
4.3%
Makefile
3.6%
Lua
3.6%
Shell
1.5%